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2_Title Slide Best Practices in Industrial Data Management Moderator: Paul Scheihing, AMO

Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

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Page 1: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

2_Title Slide

Best Practices in Industrial Data Management

Moderator: Paul Scheihing, AMO

Page 2: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Session Overview

Brief overview of strategic importance of industrial data management

Presentation by Edwin Willhite of Schneider Electric on “Energy, Data Management, Reporting”

Presentation by Richard Russell of Nissan North America on “Energy Data Management and Analysis”

Q & A

2

Page 3: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Industrial Data Management

What is energy data management? Monitoring Recording Analyzing Reporting Verification

Page 4: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Strategic Importance of Robust Data Management

Provides data with a purpose Without purpose, you can lose focus and drown in all of the data

Results in high quality data Useful data must be accurate and ready to use when needed Data validation Data normalization is important

May explain unexpected poor performances due to other variables (e.g. changes in weather data or production data)

Reveals the big picture and next steps Even if started only for cost allocation, it can identify larger

opportunities to take things to the next level A good interface can help decision-makers visualize the impact

and the progress made 4

Page 5: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Current Related AMO Activities

Better Plants Corporations set a goal, establish baseline, track energy

use, and report data

Superior Energy Performance (SEP) Facility-level certification and recognition program to

demonstrate energy management excellence and sustained energy savings

5

Page 6: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Design the Strategy | Deliver Efficiency | Sustain Results

Energy, Data Management, Reporting

Page 7: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 8

Schneider Electric – the global specialist in energy management

billion € sales (last twelve months)

of sales in new economies(last twelve months)

people in 100+ countries

of sales devoted to R&DResidential 9%

Utilities & Infrastructure 24%Industrial & machines 22%Data centres 16%

Non-residential buildings 29%

Balanced geographies – FY 2011sales

Diversified end markets – FY 2011 sales

North America23% Asia

Pacific27%Rest of

World18%

WesternEurope32%

Page 8: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 9

9

72 buildings 55 locations 12 M ft2

105 people 7 Regional managers 26 facility managers 79 techs Across North America Across all Businesses

Demographics

Enterprise-wide Facility Management

Page 9: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 10

How are you currently managing your energy data?

● Is your energy data collected manually, and stored in a spreadsheet?

● Is your data hard to scale, error prone, stored in a reliable and secure location?

● Is your data stored on one server, is it accessible to other locations?

● Can you easily share and integrate your data with other sites, users?

● Do you need skilled resources to analyze your data? Are you outsourcing this function?

Page 10: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 12

12 2600 Utility

invoices/year, Managed by Resource Advisor

1320 Production data points

1320 Weather Data Points

1320 Utility Data Points Main Meter and Sub

Meter data from 290 meters, @ 15 minute intervals – more than 10,000,000 data points / year

All data points are stored in Energy Operation.

Data from 55 sites

Enterprise-wide Facility Management

Page 11: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 13

Schneider Electric North America Monthly Outputs

Utility invoice Verification

Internal and External Sustainability Reporting

Invoice Processing and Payment

Schneider Internal Reporting – Monthly Model

SEP / ISO 50001 Data Reporting

M & V for Demand Management And Improvement

Active Energy Management of individual sites

Page 12: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 14

Monthly data is just the tip of the iceberg

Tariff Optimization

Supplier Choice Risk Management

Peak/off peak consumption

analysis

Consumption during unoccupied

hours (nights, weekends)

Under optimized scheduling of equipment (HVAC, Chillers, lighting)

Equipment consumption not correlated with

influencing factors (weather,

production volume…)

Mon

thly

da

ta

Inte

rval

dat

a

Page 13: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 15

Manage our data in three components Data is worthless if you don’t use it,

If you don’t understand it, Can’t find it or organize it.

Energy Performance

Modeled Data

Metered Data

Invoice Data

Page 14: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 16

Reduce Energy Consumption Modeled Performance EnPi Tool

Site Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Nov-13 Dec-13 '13 vs '12 Baseline Elec Gas

Cedar Rapids -3% -4% 3% 10% -1% -10% -5% -7% -11% 4% 4% -12% -3% -3% -3%Des Plaines 1% -5% 10% 22% 20% -1% 12% 23% 6% 6% -13% -11% 3% 4% 0%Lincoln -16% -14% -6% -9% -1% -1% 2% 3% 1% 4% 1% 2% -3% 3% -17%Missouri -2% -22% -17% -7% -7% -4% -10% -29% -8% -5% -12% 9% -10% -12% 63%Palatine 4% 4% 0% 1% 1% 7% -2% -2% 5% 1% 4% 2% 2% 2% 2%Rockford 3% -5% -7% 4% -26% -13% -5% -17% -14% -17% -4% 2% -6% -4% -8%St. Louis -12% -10% -19% -21% -18% -16% -14% -15% -13% -17% -18% -20% -16% -17% 610%

-5% -8% -4% 0% -5% -5% -1% -5% -4% -2% -2% -2% -4% -2% -9%Dayton -6% -15% -8% -5% -11% -26% -30% 6% 31% 35% 19% 25% 1% 3% 0%Fishers -8% -6% -3% -8% 1% -1% 9% 6% -1% -13% -9% -9% -5% 2% -14%Huntington 1% -6% -3% -5% -4% 0% 4% 4% 11% 0% -6% -5% -1% 2% -5%Lexington -1% -6% -1% -6% 2% -3% 8% 5% 4% -2% -2% -7% -1% 3% -4%Oxford -7% -4% 13% -2% 5% 5% 9% 4% 6% -8% 0% 8% 2% -3% 5%Peru 3% 2% 6% 7% 3% 1% 9% 8% 8% 9% 13% 28% 8% 5% 11%West Chester -4% -8% -10% 2% 6% -1% 5% -4% -15% -20% 3% 18% -2% -7% 7%

-2% -4% 3% -2% 2% -1% 7% 5% 5% -1% 1% 5% 1% 2% 1%Billerica -12% -14% 4% 9% 5% 2% 16% 38% 48% 50% 35% 17% 13% 18% 2%Brossard -21% -17% -9% -1% 10% 14% 17% 20% 7% 50% 22% -16% -2% 13% -15%Leesport -2% -3% -4% -5% 2% 14% 5% -3% -17% -15% -11% -14% -5% -8% -2%Marlborough 3% -10% 0% 6% 4% 2% -8% 1% 2% 7% -2% -8% 0% 0%McLaughlin -10% -17% -15% -3% 8% 7% 29% 18% 8% -2% -16% -20% -8% -8% -6%Mechanicsburg -4% -9% -10% 5% -8% 2% 11% -3% -3% -2% -1% -1% -4% -2% -6%Middletown 8% -3% 8% 13% 0% -4% 0% 3% 1% 5% -21% -6% 0% 1% -2%North Andover -13% -11% -2% 3% 0% 0% 2% 0% -6% -4% 5% -14% -5% -4% -6%West Kingston 1% -6% 1% 5% 6% 4% 1% -3% -9% 2% 6% 10% 1% 1% 3%

-4% -8% -3% 2% 2% 5% 5% 2% -5% 0% -3% -6% -2% -1% -3%Centro Logistico -12% -15% -1% 10% -14% -11% -16% -15% 0% -13% -11% -6% -9% -9%Monterrey P2 -6% -4% -12% 5% 1% -4% 3% -5% -6% 8% -8% -15% -3% 0% -7%Monterrey P3 1% -13% -17% -11% -14% -15% -7% -11% -6% 2% -5% 1% -9% -9%Monterrey P4 10% -8% -12% -3% -7% -12% -17% -22% -24% -20% -39% -42% -17% -17%Monterrey P5 -4% 47% 14% 30% -8% -22% -19% -12% 9% 8% 8% -4% -1% -1%Pacifico -8% -8% 0% -2% 5% 3% 1% 1% 1% -2% -2% -8% -1% -1%Rojo Gomez -2% -11% -9% -6% -8% -7% -2% 1% -6% -8% -10% -13% -7% -7%Tlaxcala 0% -4% -4% 0% 3% 7% 10% 13% 12% 20% 24% 1% 6% 11% -2%

-2% -6% -7% -1% -4% -7% -3% -3% -2% 2% -2% -8% -3% -3% -4%Columbia 5% -1% 0% 7% 8% 8% 6% 10% 5% 8% -4% -12% 3% 0% 10%Greensboro 5% 2% 14% -2% -10% -16% -11% -9% -14% -10% -8% -1% -5% -5% 2%LaVergne LifeSpace 0% 5% 14% 14% -3% -2% 5% 2% 0% 0% -16% -17% -1% 0% -3%LaVergne PMO -14% -19% -13% 2% 8% 2% 3% -3% 5% 1% -21% -9% -6% -2% -20%Nashville -10% -13% -7% 6% 1% 4% 5% -8% -3% -4% -12% -15% -5% 1% -24%Raleigh -2% -2% 8% 5% -6% -10% -8% -7% -17% -18% -13% -1% -5% -8% 4%Salisbury 6% 2% 5% 39% 14% 8% 11% 13% 11% 22% -7% 8% 8% 8% 8%Seneca -5% -13% -6% 1% 2% -3% -5% -8% -10% -7% -15% -11% -7% -7% -7%Smyrna -10% -16% -10% 5% -5% -6% -3% -8% -17% -24% -23% -16% -11% -10% -12%

-3% -8% -3% 5% 2% -1% -1% -3% -7% -7% -13% -10% -4.3% -4.5% -4%Athens -15% 3% -11% 0% -3% 7% 8% 17% 13% 18% -7% 0% 2% 9% -19%Burnaby 18% 21% 12% -8% -7% -3% -9% -8% -8% -12% -10% 11% 1% 1% 2%Carrollton -5% -2% 4% -4% 2% -3% 3% -2% -1% 1% -7% -13% -3% -2% -17%Chino -9% -11% -10% -4% 19% 24% 19% 14% 20% 19% 21% 22% 10% 10%Clovis -10% -19% -11% -10% -5% -5% -5% -1% 3% 10% -5% -3% -5% -8% 1%Edmonton -13% 14% -15% -12% 4% -6% -1% 8% 20% 19% -3% -4% -2% -3% -2%El Paso -1% -21% -29% 6% -1% 3% 23% 5% 16% 55% -20% -9% -2% 4% -12%Portland -13% -5% -2% -11% -8% -6% 9% 15% 12% -12% -12% -27% -7% 2% -28%Richmond -5% 8% 1% 10% 10% 3% 8% 5% 24% 12% 23% -1% 6% 5% 7%Salt Lake City -5% -12% -2% -6% -12% -16% -17% -19% 0% 5% 18% 5% -4% -14% 4%Victoria 4% -6% 4% -3% 0% 2% 10% 8% 2% -5% -7% 5% 1% 2% -1%

-5% -8% -6% -8% -3% -3% -1% 1% 4% 6% -5% -3% -3% -3% -2%-4% -7% -2% -1% -1% -2% 1% 0% -1% -1% -3% -3% -2% -2% -3%

-4% -7% -2% -1% -1% -2% 2% 0% -1% -1% -4% -2% -2% -2% -3%0% 2% -1% -5% -1% 1% 3% 2% 0% -1% -4% -2% -1% 0% -2%-2% -6% -7% -1% -4% -7% -3% -3% -2% 2% -2% -8% -3% -3% -4%

Page 15: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 17

Reduce Energy Consumption Reduce Enery Consumption

Region Site Dec-13 '13 vs '12 Baseline Elec Gas

South Total -8% -3% -3% -4%Southeast Columbia -12% 3% 0% 10%Southeast Greensboro -1% -5% -5% 2%Southeast LaVergne LifeSpace -17% -1% 0% -3%Southeast LaVergne PMO -9% -6% -2% -20%Southeast Nashville -15% -5% 1% -24%Southeast Raleigh -1% -5% -8% 4%Southeast Salisbury 8% 8% 8% 8%Southeast Seneca -11% -7% -7% -7%Southeast Smyrna -16% -11% -10% -12%

Southeast Total -10% -4.3% -4.5% -4%

Modeled Performance EnPi Tool Past Tense

Page 16: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 18

Reduce Energy Consumption

Modeled and Project Performance Future Tense

Location RegionProjected Savings (kWh)

2011 Total Energy Usage

(kWh)

Projected % Difference

Actual % Difference

(Model)

Projected Savings (kWh)

2012 Total Energy Usage

(kWh)

Projected %

Difference

Actual % Difference

(Model)

Projected Savings (kWh)

2013 Total Energy Usage

(kWh)

Projected %

Difference

Actual % Difference

(Model)

Projected Savings (kWh)

% Diff. vs. 2011

Cedar Rapids Central 1 285,102 13,501,283 -2.1% -2.5% 354,256 12,801,926 -2.8% -2.9% 548,348 13,061,585 -4.2% -7.0% 1,187,706 -8.8%Des Plaines Central 1 642,915 6,532,370 -9.8% -10.6% 144,318 5,801,735 -2.5% 2.8% - 7,027,424 0.0% -20.0% 787,233 -12.1%Lincoln Central 1 702,374 25,369,925 -2.8% -1.4% 1,562,751 24,867,561 -6.3% -3.4% 264,540 25,875,101 -1.0% -7.7% 2,529,664 -10.0%Missouri Central 1 178,599 7,710,461 -2.3% -8.5% 150,943 6,001,692 -2.5% -9.7% 214,468 5,186,295 -4.1% -8.0% 544,010 -7.1%Palatine Central 1 64,820 3,046,412 -2.1% -17.3% 299,267 2,674,738 -11.2% 2.2% 85,543 3,086,086 -2.8% 10.0% 449,630 -14.8%Rockford Central 1 299,078 18,597,854 -1.6% -14.9% 1,174,458 15,339,182 -7.7% -6.1% 578,727 15,326,060 -3.8% -19.4% 2,052,263 -11.0%St. Louis Central 1 153,193 1,671,756 -9.2% -16.7% 17,640 1,346,677 -1.3% -15.7% 104,310 1,197,925 -8.7% -2.7% 275,143 -16.5%St. Louis SETC Central 1 546,692 7,414,157 -7.4% 193,737 7,502,771 -2.6% 5,296 7,359,507 -0.1% 745,725 -10.1%

Central 1 Total 2,872,772 83,844,217 -3.4% -7.3% 3,897,369 76,336,281 -5.1% -3.8% 1,801,232 78,119,982 -2.3% -11.4% 8,571,373 -10.2%Dayton Central 2 - 1,394,799 0.0% 7.6% - 1,455,126 0.0% 1.1% 94,541 1,504,000 -6.3% 18.0% 94,541 -6.8%Fishers Central 2 293,236 1,698,056 -17.3% -6.8% 331,308 1,524,550 -21.7% -4.8% 3,732 1,702,316 -0.2% -2.3% 628,276 -37.0%Huntington Central 2 242,337 3,292,219 -7.4% -6.1% 99,931 3,038,067 -3.3% -1.0% 15,088 2,919,059 -0.5% 2.0% 357,356 -10.9%Lexington Central 2 1,068,269 39,178,261 -2.7% -7.6% 334,078 38,689,589 -0.9% -1.0% 3,813,085 40,005,869 -9.5% -5.6% 5,215,431 -13.3%Oxford Central 2 420,149 14,574,149 -2.9% 0.7% 419,988 14,919,691 -2.8% 2.0% 1,465,059 16,413,543 -8.9% -11.1% 2,305,196 -15.8%Peru Central 2 451,332 15,229,327 -3.0% 1.8% 423,551 14,966,065 -2.8% 8.5% 308,353 16,780,919 -1.8% -6.2% 1,183,236 -7.8%West Chester Central 2 - 1,748,011 0.0% -9.5% 73,574 1,578,220 -4.7% -1.8% 126,833 1,692,409 -7.5% -9.5% 200,408 -11.5%

Central 2 Total 2,475,323 77,114,822 -3.2% -4.0% 1,682,430 76,171,307 -2.2% 1.4% 5,826,691 81,018,115 -7.2% -6.4% 9,984,444 -12.9%Billerica Northeast - 1,386,381 0.0% 9.5% - 1,412,415 0.0% 13.0% - 1,783,196 0.0% -2.2% - 0.0%Brossard Northeast 68,524 1,545,582 -4.4% -17.8% 22,096 1,243,336 -1.8% -2.3% - 1,286,026 0.0% -2.2% 90,620 -5.9%Leesport Northeast 201,082 9,914,125 -2.0% -2.4% 467,382 9,168,030 -5.1% -4.7% 69,993 9,294,301 -0.8% 0.0% 738,457 -7.4%Marlborough Northeast - 240,114 0.0% 6.5% - 255,354 0.0% -0.5% - 254,242 0.0% -3.3% - 0.0%McLaughlin Northeast 35,633 1,720,747 -2.1% 333,191 2,046,468 -16.3% -7.6% 45,553 2,133,198 -2.1% -1.6% 414,378 -24.1%Mechanicsburg Northeast 90,294 3,377,534 -2.7% -0.1% 188,783 2,951,603 -6.4% -3.5% 121,752 3,355,742 -3.6% -13.8% 400,829 -11.9%Middletown Northeast 117,362 4,904,277 -2.4% -2.5% 33,200 3,998,669 -0.8% 0.0% 317,435 4,555,947 -7.0% -7.6% 467,997 -9.5%North Andover Northeast 243,923 8,294,109 -2.9% 0.5% 104,581 7,752,229 -1.3% -4.6% - 4,427,470 0.0% -1.2% 348,504 -4.2%West Kingston Northeast 1,099,874 9,411,362 -11.7% -16.7% 252,839 7,774,147 -3.3% 1.4% 669,243 8,295,827 -8.1% -6.8% 2,021,955 -21.5%

Northeast Total 1,856,691 40,794,230 -4.6% -5.4% 1,402,072 36,602,252 -3.8% -1.9% 1,223,977 35,385,949 -3.5% -4.9% 4,482,739 -11.0%Centro Logistico South 75,366 575,505 -13.1% -14.6% 53,968 493,366 -10.9% -9.4% 23,211 447,195 -5.2% -12.5% 152,544 -26.5%Monterrey P2 South 28,747 3,687,374 -0.8% -6.2% 586,413 3,654,149 -16.0% -3.2% 137,002 3,901,010 -3.5% 3.4% 752,162 -20.4%Monterrey P3 South 86,297 6,993,290 -1.2% -4.1% 152,186 6,908,853 -2.2% -8.7% 196,297 5,398,930 -3.6% -1.8% 434,780 -6.2%Monterrey P4 South 4,256 1,960,024 -0.2% -3.9% 119,087 2,159,930 -5.5% -17.2% 130,879 2,007,397 -6.5% -24.3% 254,222 -13.0%Monterrey P5 South 207,311 6,143,138 -3.4% -13.5% 108,801 2,633,762 -4.1% -1.4% 452,190 2,895,154 -15.6% 12.6% 768,303 -12.5%Pacifico South 287,236 4,758,608 -6.0% -7.1% 64,464 4,709,721 -1.4% -1.4% 81,097 5,091,541 -1.6% -4.1% 432,797 -9.1%Rojo Gomez South 511,996 7,145,164 -7.2% -7.9% 349,149 18,286,878 -1.9% -6.7% 224,705 19,834,945 -1.1% -19.8% 1,085,850 -15.2%Tlaxcala South 691,629 8,122,942 -8.5% -13.7% 452,251 7,685,753 -5.9% 6.5% 82,055 7,986,787 -1.0% 8.4% 1,225,935 -15.1%

South Total 1,892,839 39,386,045 -4.8% -8.5% 1,886,318 46,532,413 -4.1% -3.5% 1,327,437 47,562,960 -2.8% -8.3% 5,106,593 -13.0%Columbia Southeast 1,073,765 13,649,517 -7.9% -5.5% 831,431 12,867,554 -6.5% 3.2% 970,597 13,571,923 -7.2% -12.7% 2,875,793 -21.1%Greensboro Southeast 7,985 1,559,886 -0.5% -3.0% 114,392 1,486,695 -7.7% -4.6% 57,477 1,534,710 -3.7% -8.1% 179,854 -11.5%LaVergne LifeSpace Southeast 907 737,744 -0.1% -3.1% - 775,063 0.0% -0.8% - 861,028 0.0% -10.7% 907 -0.1%LaVergne PMO Southeast 3,487 2,950,107 -0.1% -16.5% - 2,394,750 0.0% -6.1% - 2,302,164 0.0% 10.8% 3,487 -0.1%Nashville Southeast 21,283 1,575,840 -1.4% 1.4% - 1,546,562 0.0% -5.3% - 1,587,509 0.0% -14.1% 21,283 -1.4%Raleigh Southeast 974,763 5,834,079 -16.7% -1.4% 156,684 5,563,471 -2.8% -5.3% 48,179 5,511,077 -0.9% -20.3% 1,179,626 -20.2%Salisbury Southeast 206,095 1,252,991 -16.4% -6.6% 43,320 1,074,221 -4.0% 8.0% 4,114 1,316,392 -0.3% -6.6% 253,528 -20.2%Seneca Southeast 2,064,116 17,536,193 -11.8% -11.0% 897,585 15,172,337 -5.9% -7.0% 619,689 14,957,818 -4.1% -15.6% 3,581,390 -20.4%Smyrna Southeast 2,508,783 9,658,729 -26.0% -25.7% 412,979 8,802,758 -4.7% -11.2% 1,058,459 8,007,993 -13.2% -15.8% 3,980,222 -41.2%

Southeast Total 6,861,184 54,755,087 -12.5% -9.1% 2,456,391 49,683,411 -4.9% -4.3% 2,758,515 49,650,613 -5.6% -13.7% 12,076,090 -22.1%Athens West 66,356 1,971,550 -3.4% -12.2% 767 1,487,982 -0.1% 1.7% 25,818 1,783,165 -1.4% 22.5% 92,941 -4.7%Burnaby West - 5,228,439 0.0% 11.3% - 5,334,828 0.0% 1.4% - 5,428,288 0.0% -7.7% - 0.0%Carrollton West 54,726 1,862,644 -2.9% 2.1% 10,670 1,796,837 -0.6% -2.6% 8,145 1,798,211 -0.5% 0.6% 73,541 -3.9%Chino West 1,427 1,346,102 -0.1% -10.3% 4,016 1,230,512 -0.3% 10.2% 58 1,356,087 0.0% 1.2% 5,500 -0.4%Clovis West 1,469,259 26,276,351 -5.6% -6.6% 821,851 23,978,802 -3.4% -5.1% 145,063 21,889,838 -0.7% 6.0% 2,436,174 -9.3%Costa Mesa West 27,924 6,757,764 -0.4% 7,239 5,490,573 -0.1% 1,929,699 7,387,627 -26.1% 1,964,862 -29.1%Edmonton West 8,284 1,107,514 -0.7% 2,126 1,094,510 -0.2% -2.4% - 1,162,618 0.0% 1.9% 10,409 -0.9%El Paso West 35,905 1,716,461 -2.1% -1.8% 19,226 1,541,448 -1.2% -1.9% 56,011 1,855,867 -3.0% 1.0% 111,143 -6.5%Portland West - 2,906,388 0.0% 2.7% - 3,260,225 0.0% -6.6% - 3,505,897 0.0% -9.0% - 0.0%Richmond West 103,583 865,828 -12.0% -14.6% 27,288 775,982 -3.5% 6.1% 329 841,328 0.0% 1.2% 131,200 -15.2%Salt Lake City West - 1,504,028 0.0% -15.2% - 1,120,073 0.0% -3.5% - 1,371,528 0.0% 2.4% - 0.0%Victoria West 869,161 4,181,343 -20.8% -39.9% - 2,612,327 0.0% 1.2% - 2,637,589 0.0% -9.0% 869,161 -20.8%

West Total 2,636,626 55,724,409 -4.7% -7.5% 893,183 49,724,099 -1.8% -2.8% 2,165,123 51,018,044 -4.2% 1.9% 5,694,931 -10.2%Grand Total 18,595,435 351,618,810 -5.3% -7.1% 12,217,762 335,049,764 -3.6% -2.2% 15,102,974 342,755,663 -4.4% -7.7% 45,916,171 -13.1%

2012 2013 2014 3-year total

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Schneider Electric – Sustainability Services – 2014 19

Reduce Energy Consumption Modeled and Project Performance

Future Tense

Location RegionProjected Savings (kWh)

2011 Total Energy Usage

(kWh)

Projected % Difference

Actual % Difference

(Model)

Projected Savings (kWh)

2012 Total Energy Usage

(kWh)

Projected %

Difference

Actual % Difference

(Model)

Projected Savings (kWh)

2013 Total Energy Usage

(kWh)

Projected %

Difference

Actual % Difference

(Model)

Projected Savings (kWh)

% Diff. vs. 2011

Columbia Southeast 1,073,765 13,649,517 -7.9% -5.5% 831,431 12,867,554 -6.5% 3.2% 970,597 13,571,923 -7.2% -12.7% 2,875,793 -21.1%Greensboro Southeast 7,985 1,559,886 -0.5% -3.0% 114,392 1,486,695 -7.7% -4.6% 57,477 1,534,710 -3.7% -8.1% 179,854 -11.5%LaVergne LifeSpace Southeast 907 737,744 -0.1% -3.1% - 775,063 0.0% -0.8% - 861,028 0.0% -10.7% 907 -0.1%LaVergne PMO Southeast 3,487 2,950,107 -0.1% -16.5% - 2,394,750 0.0% -6.1% - 2,302,164 0.0% 10.8% 3,487 -0.1%Nashville Southeast 21,283 1,575,840 -1.4% 1.4% - 1,546,562 0.0% -5.3% - 1,587,509 0.0% -14.1% 21,283 -1.4%Raleigh Southeast 974,763 5,834,079 -16.7% -1.4% 156,684 5,563,471 -2.8% -5.3% 48,179 5,511,077 -0.9% -20.3% 1,179,626 -20.2%Salisbury Southeast 206,095 1,252,991 -16.4% -6.6% 43,320 1,074,221 -4.0% 8.0% 4,114 1,316,392 -0.3% -6.6% 253,528 -20.2%Seneca Southeast 2,064,116 17,536,193 -11.8% -11.0% 897,585 15,172,337 -5.9% -7.0% 619,689 14,957,818 -4.1% -15.6% 3,581,390 -20.4%Smyrna Southeast 2,508,783 9,658,729 -26.0% -25.7% 412,979 8,802,758 -4.7% -11.2% 1,058,459 8,007,993 -13.2% -15.8% 3,980,222 -41.2%

Southeast Total 6,861,184 54,755,087 -12.5% -9.1% 2,456,391 49,683,411 -4.9% -4.3% 2,758,515 49,650,613 -5.6% -13.7% 12,076,090 -22.1%West Total 2,636,626 55,724,409 -4.7% -7.5% 893,183 49,724,099 -1.8% -2.8% 2,165,123 51,018,044 -4.2% 1.9% 5,694,931 -10.2%Grand Total 18,595,435 351,618,810 -5.3% -7.1% 12,217,762 335,049,764 -3.6% -2.2% 15,102,974 342,755,663 -4.4% -7.7% 45,916,171 -13.1%

2012 2013 2014 3-year total

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Schneider Electric – Sustainability Services – 2014 20

Invoice Analysis – Meter Data vs Invoice Data

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

01-Jan 01-Feb 01-Mar 01-Apr 01-May 01-Jun 01-Jul 01-Aug 01-Sep 01-Oct 01-Nov 01-Dec 01-Jan 01-Feb 01-Mar

Inv. Gas

Paintline Meter

Space HeatMeter

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Schneider Electric – Sustainability Services – 2014 21

Weekend Analysis – Plugs Vs HVAC & Lighting

Anomalies

Anomalies

Anomalies Anomalies

Anomalies Anomalies

> Plug load best way to show occupancy > When lighting and HVAC are added, shows HVAC and Lighting not correlated to occupancy, this requires further investigation

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Schneider Electric – Sustainability Services – 2014 22

Schneider Electric North America Results

Enterprise wide energy management information system that aggregates energy and resource data from multiple systems for reporting , analysis and

communication

-14%

-12%

-10%

-8%

-6%

-4%

-2%

0%

2%

4%

Ener

gy P

erfo

rman

ce (%

)

2014 YTD vs. 2013

NAM Regional Energy Performance

Central 1

Central 2

Northeast

South

Southeast

West

-14%

-12%

-10%

-8%

-6%

-4%

-2%

0%

Ener

gy P

erfo

rman

ce (%

)

2013 YTD vs. 2011

NAM Regional Energy Performance [2013 vs. 2011]

Central 1

Central 2

Northeast

South

Southeast

West

Page 21: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 23

Schneider Electric North America Results

Enterprise wide energy management information system that aggregates energy and resource data from multiple systems for reporting , analysis and

communication

-25%

-20%

-15%

-10%

-5%

0%

Ener

gy P

erfo

rman

ce (%

)

2014 Projected Savings vs. 2011

NAM Regional Energy Performance

Central 1

Central 2

Northeast

South

Southeast

West

Page 22: Best Practices in Industrial Data Management...1320 Production data points 1320 Weather Data Points 1320 Utility Data Points Main Meter and Sub Meter data from 290 meters, @ 15 minute

Schneider Electric – Sustainability Services – 2014 24

Schneider Electric North America Results

Enterprise wide energy management information system that aggregates energy and resource data from multiple systems for reporting , analysis and

communication

Internal energy savings Reporting. The 55 sites Are at a -7% vs. 2014 and -8% (goal 7%) against our Company program

Internal and External Sustainability Reporting

Reconciles invoice and utility

data

Provides Baseline Data For SEP, i.e. Smyrna, TN is performing At a -20% vs the 2011 baseline

Provides data for Better Buildings / Better Plants - Schneider Electric performance is 17.8%

Project planning and predicative tools to anticipate current and future savings. In 2014 we plan about 4.5% savings to bring our three year savings to over 13%

Information for Annual Energy Reviews

required by ISO50001

Foundation of Energy Program

Reconciles invoice and utility

data

Tool to use with our Management for Capital and Expense Planning

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Schneider Electric – Sustainability Services – 2014 25

The Customer Dilemma

Companies are increasingly challenged to aggregate disparate pieces of information in a heterogeneous environment across the entire enterprise Automates the data collection process through the use of an open, scalable and secure Energy Management Information System. Collects large volumes of device data from control systems or meters and enables analytics to find hidden inefficiency opportunities Serves as a tool to communicate the results and performance in a meaningful manner for a shared understanding across your organization

Energy Operation

Our

Enterprise wide energy management information system that aggregates energy and resource data from multiple systems for reporting , analysis and communication

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Schneider Electric – Sustainability Services – 2014 26

1. Design a Strategy A strategy ensures projects get buy-in, provides process to measure success, and ensures goals are met.

2. Deliver Efficiency From delivering sustainability services, energy procurement, demand response programs and reducing your resource consumption - we do it all.

3. Sustain Results We don’t walk away after we deploy a solution, we stay on the project to continuously improve and communicate success.

Schneider Electric understands both sustainability and energy management, and delivers on three parts of a successful program

An energy plan isn’t complete unless it

optimizes how you buy energy and how you use it

Maximize Results

Sustainability measures far more than just energy, and can be

a powerful tool to broaden positive perception and long-term impact

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Schneider Electric – Sustainability Services – 2014 27

Schneider Electric North America Results

Enterprise wide energy management information system that aggregates energy and resource data from multiple systems for reporting , analysis and

communication

Questions Comments